These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

239 related articles for article (PubMed ID: 31848941)

  • 1. Identification of Key Genes and Signaling Pathways Associated with the Progression of Gastric Cancer.
    Yu C; Chen J; Ma J; Zang L; Dong F; Sun J; Zheng M
    Pathol Oncol Res; 2020 Jul; 26(3):1903-1919. PubMed ID: 31848941
    [TBL] [Abstract][Full Text] [Related]  

  • 2. FN1, SPARC, and SERPINE1 are highly expressed and significantly related to a poor prognosis of gastric adenocarcinoma revealed by microarray and bioinformatics.
    Li L; Zhu Z; Zhao Y; Zhang Q; Wu X; Miao B; Cao J; Fei S
    Sci Rep; 2019 May; 9(1):7827. PubMed ID: 31127138
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of Hub Genes Associated with Tumor-Infiltrating Immune Cells and ECM Dynamics as the Potential Therapeutic Targets in Gastric Cancer through an Integrated Bioinformatic Analysis and Machine Learning Methods.
    Liu J; Cheng Z
    Comb Chem High Throughput Screen; 2023; 26(4):653-667. PubMed ID: 35996248
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of Hub Genes and Pathways in Gastric Adenocarcinoma Based on Bioinformatics Analysis.
    Qiu J; Sun M; Wang Y; Chen B
    Med Sci Monit; 2020 Feb; 26():e920261. PubMed ID: 32058995
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of hub genes correlated with the pathogenesis and prognosis of gastric cancer via bioinformatics methods.
    Nie K; Shi L; Wen Y; Pan J; Li P; Zheng Z; Liu F
    Minerva Med; 2020 Jun; 111(3):213-225. PubMed ID: 31638362
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bioinformatics analysis identifies COL1A1, THBS2 and SPP1 as potential predictors of patient prognosis and immunotherapy response in gastric cancer.
    Wang Y; Zheng K; Chen X; Chen R; Zou Y
    Biosci Rep; 2021 Jan; 41(1):. PubMed ID: 33345281
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Weighted correlation network analysis identifies FN1, COL1A1 and SERPINE1 associated with the progression and prognosis of gastric cancer.
    Zhao Q; Xie J; Xie J; Zhao R; Song C; Wang H; Rong J; Yan L; Song Y; Wang F; Xie Y
    Cancer Biomark; 2021; 31(1):59-75. PubMed ID: 33780362
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bioinformatics-Based Identification of Methylated-Differentially Expressed Genes and Related Pathways in Gastric Cancer.
    Li H; Liu JW; Liu S; Yuan Y; Sun LP
    Dig Dis Sci; 2017 Nov; 62(11):3029-3039. PubMed ID: 28914394
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification and Analysis of Key Genes Driving Gastric Cancer Through Bioinformatics.
    Liu Z; Liu S; Guo J; Sun L; Wang S; Wang Y; Qiu W; Lv J
    Genet Test Mol Biomarkers; 2021 Jan; 25(1):1-11. PubMed ID: 33470887
    [No Abstract]   [Full Text] [Related]  

  • 10. High expression of ghrelin and obestatin prepropeptide in tumor tissues predicted adverse overall survival in gastric carcinoma patients.
    Wu X; Wu Y; Ye B; Wu F; Wang P
    Medicine (Baltimore); 2020 Jun; 99(26):e20635. PubMed ID: 32590738
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The identification of a common different gene expression signature in patients with colorectal cancer.
    Zhao ZW; Fan XX; Yang LL; Song JJ; Fang SJ; Tu JF; Chen MJ; Zheng LY; Wu FZ; Zhang DK; Ying XH; Ji JS
    Math Biosci Eng; 2019 Apr; 16(4):2942-2958. PubMed ID: 31137244
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gastric cancer.
    Wu Q; Zhang B; Wang Z; Hu X; Sun Y; Xu R; Chen X; Wang Q; Ju F; Ren S; Zhang C; Qi F; Ma Q; Xue Q; Zhou YL
    Pathol Res Pract; 2019 May; 215(5):1038-1048. PubMed ID: 30975489
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Integrated bioinformatics analysis for exploring hub genes and related mechanisms affecting the progression of gastric cancer.
    Wang Y; Li D; Li D; Wang H; Wu Y
    Biotechnol Genet Eng Rev; 2024 Dec; 40(4):4911-4922. PubMed ID: 37243583
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prognostic value of gastric cancer-associated gene signatures: Evidence based on a meta-analysis using integrated bioinformatics methods.
    Wang J; Gao P; Song Y; Sun J; Chen X; Yu H; Wang Y; Wang Z
    J Cell Mol Med; 2018 Nov; 22(11):5743-5747. PubMed ID: 30133128
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of Key Genes in Gastric Cancer by Bioinformatics Analysis.
    Chong X; Peng R; Sun Y; Zhang L; Zhang Z
    Biomed Res Int; 2020; 2020():7658230. PubMed ID: 33015179
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of novel biomarkers, MUC5AC, MUC1, KRT7, GAPDH, CD44 for gastric cancer.
    Yang J
    Med Oncol; 2020 Mar; 37(5):34. PubMed ID: 32219571
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Screening and Survival Analysis of Hub Genes in Gastric Cancer Based on Bioinformatics.
    Zheng S; Yang L; Dai Y; Jiang L; Wei Y; Wen H; Xu Y
    J Comput Biol; 2019 Nov; 26(11):1316-1325. PubMed ID: 31233344
    [No Abstract]   [Full Text] [Related]  

  • 18. Bioinformatic analysis of potential hub genes in gastric adenocarcinoma.
    Liu H; Qu Y; Zhou H; Zheng Z; Zhao J; Zhang J
    Sci Prog; 2021; 104(1):368504211004260. PubMed ID: 33788653
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prediction of key genes and pathways involved in trastuzumab-resistant gastric cancer.
    Yu C; Xue P; Zhang L; Pan R; Cai Z; He Z; Sun J; Zheng M
    World J Surg Oncol; 2018 Aug; 16(1):174. PubMed ID: 30134903
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Novel prognostic biomarkers of gastric cancer based on gene expression microarray: COL12A1, GSTA3, FGA and FGG.
    Duan S; Gong B; Wang P; Huang H; Luo L; Liu F
    Mol Med Rep; 2018 Oct; 18(4):3727-3736. PubMed ID: 30106150
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.